AI-Based Optimized Design of Structural Frames
eBook - ePub

AI-Based Optimized Design of Structural Frames

With Application to Practical Building Designs

  1. 606 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI-Based Optimized Design of Structural Frames

With Application to Practical Building Designs

About this book

This book introduces an auto?design?based optimization for building frames using an artificial neural network (ANN)?based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Joseph?Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames.

New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an understanding of how both ANN?based and novel GA?based structural optimization can be implemented in holistically optimizing designated design targets for building structural frames, guiding readers toward more rational designs that is consistent with American Institute of Steel Construction (AISC) and American Concrete Institute (ACI) standards. ANN?based holistic designs of multi?story frames in general and reinforced concrete, prestressed concrete, and steel frames in particular, are introduced.

This book suits structural engineers, architects, and graduate students in the field of building frame designs and is heavily illustrated with color figures and tables.

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Yes, you can access AI-Based Optimized Design of Structural Frames by Won‐Kee Hong in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. I Introduction to AI-based optimizations of structural frames
  8. II An auto-design for optimizing RC frames using the ANN-based Hong-Lagrange algorithm
  9. III An auto-design for optimizing prestressed frames using the ANN-based Hong-Lagrange algorithm
  10. IV An auto-design for optimizing steel frames using the ANN-based Hong-Lagrange algorithm
  11. V A new GA using mutations with dynamic ranges and a probability-based natural selection method to optimize precast beams
  12. VI AI-based optimizations of RC and PT frames (AI-FRT) using Penalty-based genetic algorithm with Probabilistic-based natural selections implementing Dynamic mutations (PPD-GA)
  13. Index